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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2016–2019

BIGCHEM · Big Data in Chemistry

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-01-01 → 2019-12-31
Финансиране от ЕС
2 540 146 €
Участници
17
Схема
MSCA-ITN-EID

Линиите свързват координатора с партньорите.

Накратко на български

Големите масиви от данни в химията, информатиката и биологията се анализират за откриване на нови лекарства. Това помага за ускоряване на разработката на терапии при човешки заболявания.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Big Data in Chemistry

BIGCHEM (http://bigchem.eu) was a Marie Skłodowska-Curie (MC) European Industrial Doctorate (EID) Industrial Training Network (ITN) dedicated to the new interdisciplinary field at the interfaces of chemistry, informatics and life sciences - Big Data in Chemistry. The main goal of BIGCHEM was the training of a new generation of scientists skilled to face the challenges and to exploit the opportunities of the field. The ultimate aim was to lead the transformation of the drug discovery field in order to accelerate the development of new therapies for human diseases. Both these goals were successfully achieved.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The advent of the big data era in chemistry and the life sciences requires the development of new computational analysis methods, which are not only of scientific, but also economic relevance. Currently, the international data market already grows six times faster than the entire IT sector, and growth rates further increase. Achieving and sustaining a leadership positions in the big data arena represent critically important challenges for the EU. The economic developments in the emerging big data field are science-driven. Due to complexity and heterogeneity of biochemical and biomedical data, large-scale data exploration and exploitation are intrinsically interdisciplinary tasks. BIGCHEM positions itself at interfaces between chemistry, computer science, and the life science to provide well-structured multidisciplinary training and educate high-in-demand computational specialists capable of operating in interdisciplinary and international research and business settings. Cornerstones of BIGCHEM’s curriculum include on-line lectures and periodic schools taught by internationally leading experts in chemical and life science informatics, a balanced consortium of academia, SMEs, and large industry, and an unprecedented symbiosis of academic and industrial training and application components. Accordingly, BIGCHEM is well positioned to boost multilateral collaborations between academia and industry and train scientists who are highly competitive in the international big data market. In BIGCHEM’s R&D and training activities, the development and evaluation of conceptually novel methods for large-scale data analysis, knowledge extraction, and information sharing with demonstrated practical application potential take center stage. The network has a clearly defined policy for exploitation of new IP through wide involvement of target users, SMEs, and large industry facilitated by the experienced technology transfer department of the coordinator's team.

Оригинален текст от CORDIS (на английски).

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Връзки

Данни: CORDIS, © Европейски съюз